Training on GIS and Remote Sensing Applications on Watershed Characterization, Resources Management and Rainfall Forecasting
Master hydrological modeling, rainfall prediction, and watershed analysis using GIS & RS tools.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Advanced
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides in-depth knowledge and practical skills on the use of GIS and Remote Sensing (RS) for watershed characterization, natural resources management, and rainfall forecasting. Participants will explore hydrological modeling, satellite data analysis, and geospatial tools that support water resource planning, sustainable land management, and climate adaptation. Through practical sessions and case studies, the training integrates theory with real-world applications in watershed and rainfall analysis.
Duration
10 Days
Who Should Attend
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Hydrologists and water resource managers
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Environmental scientists and planners
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GIS/RS professionals and data analysts
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Climate change and natural resource experts
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Researchers, NGOs, and government agencies in water and environmental sectors
What you'll walk away with
By the end of the training, participants will be able to:
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Understand watershed concepts and GIS/RS applications in hydrology.
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Characterize watershed resources using geospatial data.
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Apply remote sensing techniques for rainfall and land cover analysis.
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Use GIS-based models for watershed and water resource management.
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Interpret rainfall forecasts for resource planning and disaster preparedness.
What we cover, module by module
Module 1: Introduction to GIS, Remote Sensing & Watershed Concepts
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Basics of GIS and RS in water resources management
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Watershed hydrology fundamentals
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Case Study: Watershed delineation using DEM
Module 2: Data Sources and Pre-Processing for Watershed Studies
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DEM, satellite imagery, and rainfall data acquisition
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Data cleaning, georeferencing, and integration
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Practical: Pre-processing Landsat/Sentinel data
Module 3: Watershed Characterization with GIS & RS
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Identifying watershed boundaries, streams, and slope analysis
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Land cover/land use mapping
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Case Study: Land use impacts on watershed health
Module 4: Soil and Water Resources Assessment
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Mapping soil types and moisture content
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Groundwater and surface water resource mapping
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Practical: Soil moisture estimation from RS data
Module 5: Remote Sensing for Rainfall Monitoring
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Satellite-based rainfall products (e.g., TRMM, CHIRPS)
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Rainfall variability and trends analysis
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Case Study: Rainfall monitoring in drought-prone regions
Module 6: Rainfall Forecasting Techniques
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Statistical and geospatial forecasting methods
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Climate models and remote sensing integration
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Practical: Rainfall prediction using GIS datasets
Module 7: Hydrological Modeling with GIS
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Runoff estimation and water balance models
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Integration of GIS with hydrological software (SWAT, HEC-HMS)
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Case Study: Modeling flood risk zones
Module 8: Watershed Resources Management Applications
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Watershed management planning and interventions
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GIS for erosion risk mapping and conservation strategies
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Practical: Designing watershed management plans
Module 9: GIS Dashboards & Reporting for Water Management
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Building GIS-based dashboards for decision-making
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Visualization of watershed and rainfall data
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Case Study: Decision support systems in watershed governance
Module 10: Integrated Project & Case Applications
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Group project: watershed characterization and rainfall forecasting
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Presentation of findings and practical recommendations
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Case Study: Successful watershed management programs using GIS
Where the change lands
Organization Impact
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Better watershed and resource management through GIS/RS insights
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Strengthened capacity in rainfall prediction for disaster preparedness
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Improved evidence-based planning for sustainable resource utilization
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Enhanced organizational ability to mitigate climate and water-related risks
Individual Impact
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Hands-on skills in GIS and remote sensing for watershed analysis
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Ability to conduct rainfall forecasting using geospatial data
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Competence in hydrological modeling and natural resources mapping
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Enhanced career opportunities in water, environment, and climate sectors
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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For corporate teams
Training 10+ professionals?
We deliver Training on GIS and Remote Sensing Applications on Watershed Characterization, Resources Management and Rainfall Forecasting in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.